😎 Awesome lists about Speech Emotion Recognition
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Updated
May 23, 2024
😎 Awesome lists about Speech Emotion Recognition
This project is about Speech Emotion Recognition using machine learning models
A collection of datasets for the purpose of emotion recognition/detection in speech.
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
Speech Emotion Recognition using WAV audio files
语音感情识别
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Speech Emotion Recognition (SER) using Deep neural networks CNN and RNN
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.
Real-time Speech Emotion Recognition
Speech Emotion Recognition (SER) using CNNs and CRNNs Based on Mel Spectrograms and Mel Frequency Cepstral Coefficients (MFCCs)
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
[ICASSP 2024] Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition
Champion at Brainhack TIL 2022: Team 8000SGD_CAT
Speech Emotion Recognition api using models trained based on gender using TESS, RAVDESS, CREMAD, SAVEE Datasets with an avg. accuracy of 85%
TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
An attempt at the speech emotion recognition (SER) task on the CREMA-D dataset using TensorFlow 1D & 2D RCNN models.
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